2017 - Fellow of the Royal Society, United Kingdom
2006 - Fellow of the Royal Academy of Engineering (UK)
Nigel Shadbolt spends much of his time researching World Wide Web, Information retrieval, Knowledge management, Semantic Web and Ontology. World Wide Web is often connected to Task in his work. His work on SPARQL and Ranking as part of general Information retrieval research is frequently linked to RDF query language and Automatic image annotation, bridging the gap between disciplines.
His Knowledge management research integrates issues from Knowledge elicitation, Context and Expert system. His research integrates issues of Grid computing and Constraint satisfaction in his study of Semantic Web. He has researched Ontology in several fields, including Ontology and Recommender system.
His primary areas of investigation include World Wide Web, Knowledge management, Semantic Web, Ontology and Information retrieval. His World Wide Web study frequently links to related topics such as Context. His research on Knowledge management focuses in particular on Knowledge acquisition.
His study looks at the relationship between Knowledge acquisition and topics such as Knowledge engineering, which overlap with Domain knowledge and Knowledge base. The study incorporates disciplines such as Web service and Data science in addition to Semantic Web. His work deals with themes such as Ontology and Semantics, which intersect with Ontology.
Nigel Shadbolt mostly deals with Internet privacy, World Wide Web, Data science, Context and Human–computer interaction. His Internet privacy research is multidisciplinary, relying on both Variety, Focus group and Data Protection Act 1998. His Web science and Semantic Web study in the realm of World Wide Web connects with subjects such as Citizen science.
Nigel Shadbolt is studying Social Semantic Web, which is a component of Semantic Web. His work in Context covers topics such as Linked data which are related to areas like Social media and RDF. Nigel Shadbolt interconnects Quality and Information retrieval in the investigation of issues within Crowdsourcing.
Nigel Shadbolt mainly focuses on Data science, World Wide Web, Internet privacy, The Internet and Perception. His research on Data science also deals with topics like
His Internet privacy research includes themes of Key, Data Protection Act 1998 and Mobile apps. His The Internet study combines topics in areas such as Computer security, Social psychology, State and Public relations. His Perception research is multidisciplinary, incorporating perspectives in Economic Justice, Focus group and Arbitrariness.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The Semantic Web Revisited
N. Shadbolt;W. Hall;T. Berners-Lee.
IEEE Intelligent Systems (2006)
Resource Description Framework (RDF)
Nicholas Gibbins;Nigel Shadbolt.
Encyclopedia of library and information sciences, Vol. 6, 2010 (Pacific-Sociology), págs. 4539-4547 (2009)
Ontological user profiling in recommender systems
Stuart E. Middleton;Nigel R. Shadbolt;David C. De Roure.
ACM Transactions on Information Systems (2004)
An integrated trust and reputation model for open multi-agent systems
Trung Dong Huynh;Nicholas R. Jennings;Nigel R. Shadbolt.
Autonomous Agents and Multi-Agent Systems (2006)
Eliciting Knowledge from Experts: A Methodological Analysis
R. R. Hoffman;N. R. Shadbolt;A. M. Burton;G. Klein.
Organizational Behavior and Human Decision Processes (1995)
Automatic ontology-based knowledge extraction from Web documents
H. Alani;Sanghee Kim;D.E. Millard;M.J. Weal.
IEEE Intelligent Systems (2003)
A Framework for Web Science
Tim Berners-Lee;Wendy Hall;James A. Hendler;Kieron O'Hara.
Use of the Critical Decision Method to elicit expert knowledge : A case study in the methodology of cognitive task analysis
Robert R. Hoffman;Beth Crandall;Nigel Shadbolt.
Human Factors (1998)
The Semantic Grid: A Future e‐Science Infrastructure
David De Roure;Nicholas R. Jennings;Nigel R. Shadbolt.
Web science: an interdisciplinary approach to understanding the web
James Hendler;Nigel Shadbolt;Wendy Hall;Tim Berners-Lee.
web science (2008)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: